Results 181 to 190 of about 78,152 (310)

Acral Melanosis with Macromelanosomes (AMM): The First AI-Defined Pathological Entity and Proposal of Provisional Diagnostic Criteria. [PDF]

Cureus
Shendrik I, Bobkova S.
europepmc   +1 more source

SASH1 promotes melanin synthesis and migration via suppression of TGF-β1 secretion in melanocytes resulting in pathologic hyperpigmentation [PDF]

, 2020
Hong Zhou Cui, Shu Guo, Hong He, Hui Guo, Yu Liang Zhang, Bin Quan Wang   +5 more
openalex   +1 more source

Clinical heterogeneity in vitiligo: Identification of clinical markers based patient clusters

Journal of the European Academy of Dermatology and Venereology, EarlyView.
Vitiligo is a chronic autoimmune disease with heterogeneous clinical presentations. This study analysed 399 patients using hierarchical clustering and identified five phenotypes based on clinical characteristics and lesion distribution. Two groups exhibited high disease activity and extensive involvement.
Laura Galissi, Tristan Benoît, Ribal Merhi, Claire Drullion, Nicolas Andreu, Khaled Ezzedine, Thomas Darde, Katia Boniface, Julien Seneschal   +8 more
wiley   +1 more source

UVB-/Age-Dependent Upregulation of Inflammatory Factor Interleukin-6 Receptor (IL-6R) in Keratinocytes Stimulates Melanocyte Dendricity. [PDF]

Int J Mol Sci
Inoue D, Ohba K, Shibata T.
europepmc   +1 more source

UVA-induced DNA damage and mutations in human melanocytes: relevance for melanoma mutations

Seung‐Gi Jin, Jennifer Johnson, Paul Kim, Gerd P. Pfeifer   +3 more
openalex   +1 more source

Molecular mechanisms involved in interleukin 1-beta (IL-1β)-induced memory impairment. Modulation by alpha-melanocyte-stimulating hormone (α-MSH)

, 2013
Patricia González, I. Machado, A. Alejandro Vilcaes, Carla Caruso, German A. Roth, Helgi B. Schiöth, Mercedes Lasaga, Teresa Scimonelli   +7 more
openalex   +2 more sources

A deep learning–clinical nomogram hybrid for predicting sentinel lymph node metastasis in melanoma

Journal of the European Academy of Dermatology and Venereology, EarlyView.
We developed MISSLE, a deep learning–clinical nomogram hybrid model, to predict sentinel lymph node metastasis in invasive cutaneous melanoma with a high area under the receiver operating characteristic curve of 0.950 on the test set. MISSLE identifies key histopathological features and integrates AI for improved clinical decision‐making.
Minh‐Khang Le, Masataka Kawai, Tetsuo Kondo, Takashi Inozume, Yoshinori Muto, Youichi Ogawa, Shinji Shimada, Takashi Okamoto, Tatsuyoshi Kawamura   +8 more
wiley   +1 more source

Correction: Generation of Human Melanocytes from Induced Pluripotent Stem Cells. [PDF]

PLoS One
Ohta S, Imaizumi Y, Okada Y, Akamatsu W, Kuwahara R, Ohyama M, Amagai M, Matsuzaki Y, Yamanaka S, Okano H, Kawakami Y.   +10 more
europepmc   +1 more source

The Influence of Pigment Transfer on the Risk of Developing Melanoma: The Significance of the Melanocyte Amputation Cycle

, 2016
Patrick A. Riley
openalex   +1 more source

Phosphorylation of BRN2 Modulates Its Interaction with the Pax3 Promoter To Control Melanocyte Migration and Proliferation [PDF]

, 2012
Irina Berlin, Laurence Denat, Anne‐Lise Steunou, Isabel Puig, Delphine Champeval, Sophie Colombo, Karen Roberts, Elise Bonvin, Yveline Bourgeois, Irwin Davidson, Véronique Delmas, Laurence Nieto, Colin R. Goding, Lionel Larue   +13 more
openalex   +1 more source